Title :
The Sum-Capacity of the Ergodic Fading Gaussian Cognitive Interference Channel
Author :
Maamari, Diana ; Devroye, Natasha ; Tuninetti, Daniela
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Chicago, Chicago, IL, USA
Abstract :
This paper characterizes the sum-capacity of the ergodic fading Gaussian overlay cognitive interference channel (EGCIFC), a time-varying channel with two source-destination pairs in which a primary/licensed transmitter and a secondary/cognitive transmitter share the same spectrum and where the cognitive transmitter has noncausal knowledge of the primary user´s message. The throughput/sum-capacity is characterized under the assumption of perfect knowledge of the instantaneous fading states at all terminals, which are assumed to form an ergodic process. A genie-aided outer bound on the sum-capacity is developed and then matched with an achievable scheme, thereby completely characterizing the sum-capacity of the EGCIFC. The power allocation policy that maximizes the sum-capacity is derived. It is shown that the sum-capacity achieving scheme for an EGCIFC is “separable” in all regimes (i.e., coding across fading states is not necessary), as opposed to the classical interference channel. Extensions to the whole capacity region are discussed. As a capacity achieving scheme for the EGCIFC under certain channel gain conditions, and as a topic of independent interest, the ergodic capacity of a point-to-point multiple-input-single-output channel with per-antenna power constraints and with perfect channel state information at all terminals is also derived.
Keywords :
Gaussian channels; MIMO communication; cognitive radio; fading channels; radio transmitters; radiofrequency interference; time-varying channels; EGCIFC; capacity achieving scheme; channel gain conditions; cognitive transmitter; ergodic fading Gaussian cognitive interference channel; genie-aided outer bound; instantaneous fading states; licensed transmitter; noncausal knowledge; per-antenna power constraints; perfect channel state information; point-to-point multiple-input-single-output channel; power allocation policy; primary transmitter; primary user message; secondary transmitter; source-destination pairs; throughput-sum-capacity; time-varying channel; Fading; Interference channels; Radio transmitters; Receivers; Resource management; Cognitive radio; convex optimization; ergodic capacity; power allocation; separability;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2014.2360382